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Through the addition of new departments and businesses, such companies can absorb a large number of graduates in relevant professional management
Although we have taken some legislative protection on the land, mineral, water, forest and other resources, there is still a big gap in the implementation of the laws and regulations.
Engineering of water culture and water resource. 2006. 10.24

Methodology Image Processing 1) Image filter: In order to reduce the noise of the SAR imagery, Enhanced Frost Filter was used to process SAR imagery with the window of 7 by 7 pixels, which can reduce the noise of the imagery and improve the boundary between land and water. 2) Image geometrically correction: A lot of control points are equally selected respectively from LANDSAT TM, SAR and topographic maps.
The shade and water body from TM imagery were fused with the water body from RADARSAT SAR with aim at extracting flood extent from RADARSAT SAR imagery.
Software setting: Operating system: Windows XP Professional (SP2) Database support: SQL SERVER 2000 7.

Introduction There are a variety of underground pipelines in urban cities, such as gas pipe, water mains, thermal pipeline, cable conduit communication, etc.
Table 1 Risk indicators and classification of metro tunnel crossing underground pipelines index layer Level 1 Level 2 Level 3 Level 4 Level 5 underground pipeline situation/u1 pipeline type/u11 heat-supply pipeline water supply pipeline waste pipeline gas pipeline cable conduit pipeline materials/u12 flexible pipe(PVC) steel pipe reinforced concrete pipe concrete pipe cast-iron pipe pipeline size/u13 1800(mm) 1500(mm) 1000 (mm) 500 (mm) 200 (mm) joint type/u14 flexible pipe(PVC) Steel pipe cast-iron pipe reinforced concrete pipe concrete pipe damage condition/u15 intact basically intact general intact damaged severely damaged pipeline depth/u16 1(m) 2(m) 3(m) 4(m) 5(m) tunnel engineering conditions /u2 formation conditions/u21 Ⅵ Ⅴ Ⅳ Ⅲ Ⅱ,Ⅰ tunnel depth/u22 30(m) 25(m) 20(m) 15(m) 10(m) tunnel cross-sectional dimension/u23 6(m) 9(m) 12(m) 15(m) 18(m) construction environment/u24 excellent good general poor bad level of construction techniques and management/u25 richful similar construction
Table 2 Pipelines risk parameters Index pipelines parameter A B C D pipeline type flexible cable conduit gas steel pipeline concrete sewer steel water supply pipe pipeline materials PVC steel concrete steel pipeline size diameter 300(mm) diameter 400(mm) diameter 1200(mm) diameter 1000(mm) pipeline depth 1.86(m) 1.31(m) 3.24(m) 0.99(m) damage condition basically intact basically intact general intact basically intact joint type PVC pipe steel pipe concrete pipe steel pipe surrounding rock level Ⅳ Ⅳ Ⅲ Ⅲ tunnel depth 14.25(m) 13.30(m) 11.56(m) 12.60(m) tunnel cross-sectional dimension 6(m) 6(m) 6(m) 6(m) construction method shield shield mining shield plane location relation between pipeline and tunnel pipeline and tunnel parallel /horizontal distance 2.3m Pipeline and tunnel vertical pipeline and tunnel intersect pipeline and tunnel intersect The quantitative indexes can be directly put into equation (3) and (4) to solve connection degree.
Table 3 Risk parameters value of pipelines index u11 u12 u13(mm) u14 u15 u16(m) u21 u22(m) u23(m) u24 u25 u26 u27 u31 u41 weight 0.15 0.20 0.10 0.20 0.20 0.15 0.10 0.10 0.10 0.05 0.30 0.30 0.05 0.20 0.15 A 50 90 300 90 76 1.86 Ⅳ 14.25 6 68 85 83 68 56 83 B 60 80 400 80 84 1.31 Ⅳ 13.30 6 76 85 83 68 50 84 C 70 60 1200 50 68 3.24 Ⅲ 11.56 6 65 85 69 68 50 76 D 80 80 1000 80 75 0.99 Ⅲ 12.60 6 66 85 77 68 50 79 Professional system and Analytic Hierarchy Process (AHP) were used to determine relative importance of index and index weight, as shown in Table 3.

The chemical analysis of solid samples was done with a mobile analyzer Innov-X DELTA PROFESSIONAL by company BAS Rudice s.r.o.
The fourth beaker contained only 100 g sample and 600 ml distilled water, so-called blanks, and the last beaker contained 100 ml sample and 600 ml MPB medium (without bacteria).
It was necessary to refill the given volume with distilled water.
PAHs Input Output R P R+P M DW Naphthalene 0.19 0.16 0.06 0.15 0.14 0.20 Acenaphthene 0.18 0.07 0.03 0.08 0.06 0.09 Fluorene 0.06 0.04 0.02 0.05 0.04 0.05 Phenanthrene 0.65 0.56 0.29 0.56 0.44 0.56 Anthracene 0.13 0.06 0.03 0.13 0.09 0.09 Fluroanthene 1.12 0.67 0.31 0.82 0.65 0.83 Pyrene 1.08 0.72 0.32 0.81 0.70 0.88 Benzo(a)anthracene 0.57 0.27 0.14 0.43 0.30 0.42 Chrysene 1.30 0.59 0.21 0.69 0.54 0.68 Benzo(b)fluroanthene 1.03 0.58 0.30 0.71 0.57 0.69 Benzo(k)fluoranthene 0.60 0.28 0.14 0.35 0.28 0.34 Benzo(a)pyrene 0.76 0.38 0.19 0.52 0.50 0.49 Dibenzo(ah)anthracene 0.05 0.02 0.02 0.03 0.02 0.03 Benzo(ghi)perylene 1.39 0.67 0.36 0.82 0.64 0.79 Ideno(1,2,3cd)pyrene 0.73 0.29 0.15 0.33 0.32 0.32 ∑ PAHs 9.84 5.36 2.57 6.48 5.29 6.46 *R – R. degradans, P – P. monteilii, R+P – bacterial mixture, M – medium, DW – distilled water (a blank) Fig. 1 shows concentrations ∑ PAHs in a sample of sleeper subsoil and it is obvious that microbial biodegradation was successful.

Tritiated water can replace ordinary water in living cells (approximately 70 % of the soft tissue in the human body is water).
What is the source of waste water?
The main source of waste water discharged into the River Hron is industrial sewage water (cooling water) from Mochovce NPP, Units 1&2.
Industrial waste water can be classified as follows: waste water without radionuclides including cooling tower blowdown and water from regeneration of a system for demineralised water production; and waste water with low-active radionuclides, which originates by vapour condensation from radioactive liquid treatment.
For a good professional intervention in the event of hazardous waste release into the environment or health threat, it is necessary to have the basic and accurate information on waste [7,15].

An experimental investigation has been conducted using water as the PCM.  
A Hewlett Packard Z200 workstation with Intel® Xeon® Quad-Core CPU X3450 @ 2.67GHz 2.80GHz processor with Windows® 7 Professional 64-bit operating system was used for the simulations.
Heat transfer enhancement in water when used as PCM in thermal energy storage.

ERDAS IMAGINE is a remote sensing image processing system developed by the United States.The paper using ERDAS to classified the remote sensing of Land-sat TM image data by supervised classification method and unsupervised classification method, Using the Yushu City remote sensing image of Jilin Province as the trial data, and classified the forest, arable land and water from the remote sensing images, compared the test data of the supervised classification and unsupervised classification method, shows that the supervised classification method can be better to solute the questions "with the spectrum of foreign body" and "synonyms spectrum" than unsupervised classification method, and optimize classification images, improved information extraction accuracy.
Remote sensing image analysis is an advanced stage for remote sensing image processing, ,and makes the feature extraction from the remote sensing image information on Earth's surface and its environment, using acquired characteristics to classify and identify the image information to the actual surface features, extract the required surface features information, whether professional, dynamic changes in forecast or production of thematic maps and establishment remote sensing database, the classification is needed.
The original remote sensing data B.The Experiment of Remote sensing image classification According to the actual use of the study area, the experiment is divided into the following three categories: Water: including ponds, artificial lakes, rivers, etc.; Bare ground: including mountains, deserts, neighborhoods, etc.; arable land: including agricultural land, farm and orchard land, etc.; 1.Unsupervised classification: According to the experimental requirements, assume the first initial parameters, by the pre-classification to form the clusters, the statistical parameters of clusters to adjust the parameters of prefabricated, and then gather in class once again, then adjust, until the parameters reach the allowed range far.

So how to have the function of drawing contours of the software development, the seamless link to service application system, has become the hot spot of professional software development.
Surfer is the professional software by the Golden Software, the software has the XYZ coordinate system of automatic data into a data graph function, the contour map, 3D stereoscopic chart and so on many kinds of engineering drawings, and can be combined perfectly with the administrative map, electronic map and contour map by AUTOCAD.
The application of Surfer in underwater topographic map drawing: Water conservancy in Jiangsu, China.Vol.12 (2005), P.13-14

China has a vast territory and abundant water and coal resources.
Power system, as a non-professional data processing industry, when facing such a problem, must actively learn from advanced professional processing methods, to deal with the problem within the scope of power system.

Tongzhou rises the comprehensive efficiency level of power generation solid waste and push the solid waste from dust ground to market by collectivize and professional management.
With the preliminary form of Tongzhou’s collectivize and professional management structure, the effect of company’s operation mechanism.
Effects of Water Ratio, Mixing Ration of Fly Ash and Curing Temperature on Pozzolanic Reation of Fly Ash in Cememt Paste, J.